Molecular identification and the study of bacteria in processed food products can be challenging or suffer limitations when using conventional methods. However, with Next Generation Sequencing (NGS), one can identify bacterial species with a significantly higher detection sensitivity using a 16S rRNA target gene. This study aimed to characterise the bacterial diversity of the organic and conventional production of Minas Frescal cheese, through the NGS analysis of the 16S rRNA gene. DNA was extracted from 96 samples, 48 from organic production and 48 from conventional production. The bacterial families and genera with the highest prevalence were identified. The most prevalent families were Enterobacteriaceae, Planococcaceae and Moraxellaceae. The NGS 16S rRNA tool proved to be very useful for bacterial characterisation, but it is still not possible to say whether a product contains more or less bacteria based on organic production, as there are several factors that contribute to contamination.

使用传统方法对加工食品中的细菌进行分子鉴定和研究可能具有挑战性或受到限制。然而，通过下一代测序 (NGS)，人们可以使用 16S rRNA 目标基因以显着更高的检测灵敏度识别细菌物种。本研究旨在通过对 16S rRNA 基因的 NGS 分析来表征 Minas Frescal 奶酪有机和常规生产的细菌多样性。从 96 个样本中提取 DNA，其中 48 个来自有机生产，48 个来自常规生产。鉴定出流行率最高的细菌科和属。最普遍的科是肠杆菌科、蓝球菌科和莫拉氏菌科。NGS 16S rRNA 工具被证明对细菌表征非常有用，